RAG-DuckDB vs Notion RAG: Intelligent Documentation Search

Provides document processing and retrieval-augmented generation capabilities using DuckDB as the vector database backend, featuring intelligent chunking strategies that adapt to file types, hybrid search combining semantic similarity with BM25 keyword search, and support for over 20 file formats inc

This server acts as a bridge between your Notion workspace and your development environment, providing intelligent access to your documentation right within your IDE. Leveraging a Retrieval-Augmented Generation (RAG) system, it syncs your Notion pages, indexes them into a Pinecone vector database, a

MCP Servers

MCP Servers

—

—

—

—

—

—

—

—

—

63

0